Modeling exopeptidase activity from LC-MS data

Recent studies demonstrate that the peptides in the serum of cancer patients that are generated (ex vivo) as a result of tumor protease activity can be used for the detection and classification of cancer. In this paper, we propose the first formal approach to modeling exopeptidase activity from liqu...

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Veröffentlicht in:	Journal of computational biology 2009-02, Vol.16 (2), p.395-406
Hauptverfasser:	Kluge, Bogusław, Gambin, Anna, Niemiro, Wojciech
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Biomarkers, Tumor - chemistry Biomarkers, Tumor - metabolism Cancer patients Chemical properties Chromatography, Liquid Exopeptidases - chemistry Exopeptidases - metabolism Health aspects Humans Liquid chromatography Mass Spectrometry Mathematics Models, Biological Neoplasms - chemistry Neoplasms - classification Neoplasms - diagnosis Neoplasms - metabolism Peptides - chemistry Peptides - metabolism Proteases Reproducibility of Results Structure
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